Supply Chain Risk Management Market Covering Developing Trends, Major Highlights With Global Analysis and Forecast By 2026


Supply chain analytics is an algorithm that consists of mathematics, statistics, predictive modeling and machine-learning techniques. It helps convert business data including order, shipment, and transactional data of several industries such as, manufacturing, retail & consumer, healthcare, and transportation into meaningful insights.
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Supply chain analytics analyses data to provide accurate forecasting that is in tune with current and future market trends. Moreover, supply chain analytics solution is involved in providing real time analysis for huge data set. Rampant growth of unstructured data set through the data or record management of forecasting, transportation logistics, retail and manufacturing, data or transaction of banks and finance, and business tax are expected to boost the growth of overall supply chain analytics market globally, owing to the requirement of analysis and management of huge unstructured data set in shorter time span, which is labor intensive.
Supply chain analytics market is expected to witness rampant growth due to growing healthcare sector in the near future.
On the basis of regions, the global supply chain analytics market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America region accounted for largest market share of global supply chain analytics market in 2016 due to wide application of supply chain in healthcare sector. Accuracy is one of the major concerns in the healthcare sector. Machine learning have the capabilities to provide more accurate diagnosis and healthcare services, which in turn has augmented demand for supply chain analytics in healthcare sector.
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Major players operating in the global supply chain analytics market are IBM Corporation, Microstrategy, Oracle Corporation, SAP SE, SAS Institute, INC., Capgemini Inc., Genpact, Kinaxis INC., Tableau Software, and Birst, Inc.


A distributed ledger is a synchronized and decentralized digital database software system. It maintains all transaction information in a decentralized manner across different locations, by reducing the requirement of a central authority for checking against manipulation. It permits any online transactions or data storage to be safe by preventing the probability of cybercrime as all the consumers are able to see all transactions, and the data is stored in a register. A digital ledger can securely and accurately store all this information with the help of cryptography, which can be accessible only by using cryptographic signatures.
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Distributed Ledger Technology applications
Blockchain is a type of distributed ledger technology. Blockchain technology is a decentralized software program that establishes a digital register, which enables in protected online payment transactions. These transactions are recorded in the register from a number of computers. The register maintains a continuous set of data containing information about the transaction records without changing the transaction information. The data in the register is maintained in the form of lists, which are organized in Blocks for each time period. These Blocks consists of information about the transactions, and provides a reference to the previous Block, thus, the present Block links to the prior Block to form a Blockchain. Generally, one Block contains the information about a set of transactional records for a particular period of time or fixed memory size.
Importance of Distributed Ledger Technology
Distributed ledger technology based transactions enable faster, safer, and economical transactions as compared to conventional transaction systems. This is due to the fact that conventional transaction systems refer to central administrator or centralized data storage system. Moreover, distributed ledger technology can be used to build a permanent and transparent ledger system for gathering data on exchanges, real-time tracking of digital transaction and payments, and to prevent frauds and errors. All the information stored in distributed ledger becomes unchangeable, and can be accessible from each node of a network as it becomes identical replica. Hence, if any changes are made in the register, it will be reflected and copied to every user’s database within a span of seconds. Therefore, digital ledgers are more secure and to make a successful cyber-attack, a hacker needs to attack all the distributed copies, simultaneously.
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Regional Insights
The distributed ledger technology market is segmented on the basis of geography including North America, Europe, Asia Pacific, Latin America, Middle East, and Africa regions. The market in North America is expected to be dominant in the global market. This is owing to rising awareness and increasing applications of this technology in various segments. For instance, according to IoT Newsletter Organization in 2017, U.S. Department of Energy is exploring the application of blockchain technology for the management of next-generation power grids. This in turn boosting growth of the distributed ledger technology market.
Rising demand for e-Commerce in emerging economies such as China and India is another factor for growth of the markets. According to Coherent Market Insights’ analysis, in 2016, China accounted for over 63% of digital buyers in Asia Pacific followed by India and Japan. Hence, Asia Pacific accounted for over 10% of global retail e-Commerce sales in 2016. This is owing to increasing implementation and improving blockchain services in this region. Blockchain is used in e-Commerce for gathering data on exchanges, real-time tracking of digital transaction, and payments. Increased adoption and development of Bitcoin in China is expected to fuel growth rate of blockchain market, which is expected to in turn boost growth of the distributed ledger technology market in Asia Pacific.
Competitive Insights
The key market players in the distributed ledger technology industry include IBM Corporation, Microsoft Corporation, Amazon.com, Inc., SAP SE, Intel Corporation, Samsung Group, NVIDIA Corporation, Xilinx, Inc., AMD, Inc., Siemens AG, Accenture Plc, and Infosys Ltd.


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